ABOUT THE WORKSHOP
This workshop gears to gather recent work on heterogeneous and
unconventional cluster architectures and applications, which might have
a big impact on future cluster architectures. This includes any cluster
architecture that is not based on the usual commodity components and
therefore makes use of some special hard- or software elements, or that
is used for very special and unconventional applications. In particular
we call for GPUs and other accelerators (MIC, FPGA) used at cluster
level. Other examples include virtualization, in-memory storage and
device-to-device communication on the software side. We are in
particular encouraging work on disruptive approaches, which may show
inferior performance today but can already point out their full
performance potential. The broad scope of the workshop facilitates
submissions on unconventional uses of hardware or software, gearing to
gather ideas that are coming to life now and not limiting them except
for their context: clusters.

We are seeking new proposals presented from a holistic perspective. In
this regard, one of the aims of the workshop is anticipating the evolution
of clusters. Instead of just presenting new work carried out in the
traditional cluster areas usually addressed in other conferences and
workshops, we are thinking on creating the right atmosphere for a
discussion of opportunities in cluster computing. In this regard,
contributions would not only be accepted according to their technical
merits but also according to their contribution to this discussion.


TOPICS OF INTEREST
Topics of interest include any heterogeneous or unconventional cluster
architecture or application. Examples include, but are not limited to:
- Clustered GPUs or other accelerators
- High-performance, data-intensive, and power-aware computing
- Application-specific clusters, datacenters, and cloud architectures
- New industry and technology trends and their potential impact
- Emerging programming paradigms for parallel computing
- Software cluster-level virtualization for consolidation purposes
- Hardware techniques for resource aggregation
- Management layers for large-scale systems
- New uses of GPUs, FPGAs, and other specialized hardware

IMPORTANT DATES
Paper submission: May 13th, 2013
Notification of acceptance: June 21st, 2013
Camera-ready paper: July 12th, 2013


PAPER SUBMISSION GUIDELINES
Submissions may not exceed 8 pages (two column, single spaced, 10pt font,
81⁄2×11-inch pages) in PDF format including figures and references. We
recommend a minimum of 6 pages. Submitted papers must be original work
that has not appeared in and is not under consideration for another
conference or journal. Work in progress is welcome, but first results
should be made available as a proof of concept. Submissions only consisting
of a proposal will be rejected. Please visit
[2]http://www.hucaa-workshop.org/hucaa2013 for additional details.

EXTENDED PAPER JOURNAL VERSION
The authors of the best papers from the workshop will be directly invited
to submit an extended version for a special issue on a JCR journal. From
the rest of the papers presented in the workshop, selected ones will be
invited to submit an extended version. These papers will undergo a
shepherding process in order to provide the authors with guidance for
improving their work. Shepherds will be selected from the program committee
members, which will also ensure the quality of the new versions. Notice
that this special issue will be open to other works not previously submitted
to the workshop, although these new papers will compete with the shepherded
ones, which will have higher priority for similar quality.

ORGANIZERS
Holger Fröning, U. Heidelberg
Federico Silla, U. Politécnica Valencia

STEERING COMMITTEE
José Duato, U. Politécnica Valencia
Sudhakar Yalamanchili, Georgia Tech
Ulrich Brüning, U. Heidelberg

TECHNICAL PROGRAM COMMITTEE
- Elvira Baydal, U. Politécnica Valencia
- Rainer Buchty, TU Braunschweig
- Bryan Catanzaro, NVIDIA
- Hans Eberle, Oracle
- Erich Focht, NEC
- Pedro Garcia, U. Castilla-La Mancha
- Torsten Hoefler, U. Illinois
- Mark Hummel, NVIDIA
- Andrew R Kerr, NVIDIA
- Heiner Litz, Stanford University
- Gaspar Mora, Intel
- Mondrian Nuessle, U. Heidelberg
- Juan Manuel Orduña, U. Valencia
- John Owens, U. California Davis
- Samuel Rodrigo, Oracle
- Ron Sass, U. North Carolina at Charlotte
- Frank Olaf Sem-jacobsen, EVRY, Norway
- Yong Ho Song, Hanyang University
- Christian Terboven, RWTH Aachen
- Jesper Larsson Traeff, U. Tech. Vienna
- Rafael Ubal, Northeastern University
- Tilman Wolf, U. Massachusetts
- Jeff Young, Georgia Tech